Location Planning of Charging Stations for Electric City Buses Considering Battery Ageing Effects

Brita Rohrbeck (), Kilian Berthold and Felix Hettich
Additional contact information
Brita Rohrbeck: Karlsruhe Institute of Technology, Institute of Operations Research
Kilian Berthold: Karlsruhe Institute of Technology, Institute of Vehicle System Technology
Felix Hettich: Karlsruhe Institute of Technology, Institute of Operations Research

A chapter in Operations Research Proceedings 2017, 2018, pp 701-707 from Springer

Abstract: Abstract Electrification of public transport is one important pillar of sustainable urban planning. However, the infrastructure is still costly and a cost-efficient solution crucial. Costs and effectiveness depend mainly on the number and location of charging stations as well as on the batteries’ capacities. Here, also the ageing, i.e. the loss in capacity must be taken into account. Thus, we introduce the Charging Stations Location Problem with Battery Ageing (CSLP-BA). We present a mixed integer model with multiple periods, enhanced by a battery ageing function to solve the problem. To evaluate the model, we give an overview of our results obtained from real world data of the bus network of Mannheim and contrast them with the present configuration used in Mannheim.

Keywords: E-mobility; Public transport; Location; Mixed-integer programming (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (4)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-89920-6_93

Ordering information: This item can be ordered from
http://www.springer.com/9783319899206

DOI: 10.1007/978-3-319-89920-6_93

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().